|
ISBN
| 9780132047678 | |
DDC
| 519.02462 | |
Tác giả CN
| Walpole, Ronald E. | |
Nhan đề
| Probability and Statistics for Engineers and Scientists / Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye | |
Lần xuất bản
| 9th Edition | |
Thông tin xuất bản
| Upper Saddle River, NJ : Pearson Prentice Hall, 2007 | |
Mô tả vật lý
| xxiii, 816 p. ; 25 cm. | |
Phụ chú
| Includes bibliographical references and index | |
Tóm tắt
| With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields. | |
Từ khóa tự do
| Engineers | |
Từ khóa tự do
| Statistical methods | |
Từ khóa tự do
| Scientists | |
Tác giả(bs) CN
| Ye, Keying | |
Tác giả(bs) CN
| Myers, Raymond H. | |
Tác giả(bs) CN
| Myers, Sharon L. | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 044 | |axxk |
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| 082 | |a519.02462|bW165|223 |
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| 100 | |a Walpole, Ronald E. |
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| 245 | |aProbability and Statistics for Engineers and Scientists / |cRonald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye |
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| 250 | |a9th Edition |
|---|
| 260 | |aUpper Saddle River, NJ : |bPearson Prentice Hall, |c2007 |
|---|
| 300 | |axxiii, 816 p. ; |c25 cm. |
|---|
| 500 | |aIncludes bibliographical references and index |
|---|
| 520 | |aWith its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields. |
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| 541 | |aMua |
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| 653 | |aEngineers |
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| 653 | |aStatistical methods |
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| 653 | |aScientists |
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| 700 | |a Ye, Keying |
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| 700 | |aMyers, Raymond H. |
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| 700 | |aMyers, Sharon L. |
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| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
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| 890 | |c1|a0|b0|d0 |
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